Spring2011 newsletter V2
-
Upload
bear-grammar -
Category
Documents
-
view
216 -
download
0
Transcript of Spring2011 newsletter V2
-
8/7/2019 Spring2011 newsletter V2
1/5
University of Montana: Computer Science Newsletter
1
COMPUTER SCIENCE
Special Issue: Faculty ResearchSpring 2011
Inside this Issue
Research Projects:
Plus Achievements and
Recent Publications
As the Spring semester is
now in full-swing, we find
ourselves as busy as ever. We
wished Alden Wright Bon
Voyage as he headed to New
Zealand to do a semester of
research at the University of
Otago, we ushered in a brand
new department website
(http://www.cs.umt.edu) and
blog that we hope is more
user friendly and up-to-date,
we are meeting new
classmates from MSU as we
host our graduate levelCryptography course through
distance learning
technologies, we welcome
two new adjunct instructors
to teach Networking and
Computer Graphics, and
we are planning for
upcoming events like the
Montana State Science Fair.
We hope to get more
involved this semester with
both the Undergraduate
Research Conference and the
Graduate Faculty Research
Conference and are actively
encouraging our students to
participate. We continue to
share information about a
number of promising
internship opportunities, and
are pleased to report that ourcomputer club remains
vibrant. The remainder of this
special issue is devoted to
faculty research.
Taking Blackfoot speeches as
input, the system generates a listof audio clips containing a
sequence of sounds or certain
accent patterns
2
In cloud computing, heavy
computations on data are
outsourced to "the cloud" overthe Internet.
2
randomly generated RNAsequences and their afnity for a
particular protein (nucleocapsid
protein (N) from River ValleyFever Virus (RVFV)).
3
The unstructured mesh (blacktriangles) delivers resolution
where it is needed, but reduces
computational overhead inregions ofslower change.
3
Results of this study indicate that
participants have a strong
preference for software that
reduces the need for excessprogram window
4
Genetic algorithms are
computational methods based onthe biological concepts ofgenetics and evolution.
4
http://www.cs.umt.edu/http://www.cs.umt.edu/http://www.cs.umt.edu/http://www.cs.umt.edu/http://www.cs.umt.edu/http://www.cs.umt.edu/http://www.cs.umt.edu/ -
8/7/2019 Spring2011 newsletter V2
2/5
University of Montana: Computer Science Spring 2011
2
Dr Min Chen: Blackfoot Linguistic Preservation
An example speech transcriptionand audio analysis
Cryptographic Objects: Dr. Mike Rosulek
In cloud computing, heavy computations
on data are outsourced to "the cloud"over the Internet. One importantcryptographic challenge for cloud
computing is providing data privacy, theability for the cloud to carry out the
computation, and an assurance to theuser that the cloud indeed performed thedesired computation. One approach to
cloud computing is for users to
encrypt their data, and for the cloud
to perform blind computations on
that encrypted data. However,
existing encryption techniques havenot easily allowed blind
computations as well as enforced
data integrity.
Dr. Mike Rosulek's recent
research has developed newencryption techniques that allowvery simple computations to beblindly carried out on encrypteddata, but in a way that forces the
cloud to perform only the
desired computation. Futurework in this area involvesexpanding the feature-set ofthese robust computations on
encrypted data.
Supported by an NEH grant, we are in the process of developing a multimedia database system to automaticallycapture and manage interesting sound clips in Blackfoot (an endangered language spoken in Alberta, Canada,
and Montana) for language preservation. Taking Blackfoot speeches as input, the system generates a list ofaudio clips containing a sequence of sounds or certain accent patterns based on research interests. Existingcomputational linguistic techniques such as information processing and artificial intelligence are extended totackle issues specific to Blackfoot linguistics, and database techniques are adopted to support better datamanagement and linguistic queries.
-
8/7/2019 Spring2011 newsletter V2
3/5
University of Montana: Computer Science Spring 2011
3
DR. Jesse Johnson is working with colleagues in UM Geoscience
to develop an ice sheet model capable of combining the best
available observations with detailed physical descriptions of the ice.
Once the data has been 'assimilated', the model can be used to assessthe impact of climate change on the ice sheet's stability. Model output
in this figure of Greenland shows the results of a recent assimilationof satellite derived surface velocity data into the model. The
unstructured mesh (black triangles) delivers resolution where it is
needed, but reduces computational overhead in regions of slower
change. Ultimately, the purpose of models like Johnson's is todetermine the amount of sea level change that ice sheets produce.
Ice Sheet Modeling
Identification of
Ribonucleac Acid
Functional Structure
In collaboration with partners in the Biochemistry Department,
several of the graduate students and Dr. Douglas Raifordwill begin investigating methods of identifying common
secondary (and possibly tertiary) structures of functionally similar
RNA sequences.
This work will involve the analysis of experimentally derived dataon randomly generated RNA sequences and their affinity for aparticular protein (nucleocapsid protein (N) from River ValleyFever Virus (RVFV)). All of the resulting RNA sequences will
have a known affinity for this protein (aptamer status) and it willbe our job to identify their secondary structures as well as
common structural features, the implication being that thesesecondary structures (and their resultant tertiary structures) are
responsible for the sequence's high affinity for the target protein.
Algorithmic approaches will include calculation of tree edit
distances, dynamic programming techniques for identifyingminimum energy states, as well as clustering and classifier
algorithms.
-
8/7/2019 Spring2011 newsletter V2
4/5
University of Montana: Computer Science Spring 2011
4
Dr. Alden Wrightis currently doingfinal revisions on the paper On theMovement of Vertex Fixed Points in theSimple GA which will be published in theproceedings of the FOGA 2011 workshop.This paper concerns a dynamical systemmodel of the simple genetic algorithm.Genetic algorithms are computationalmethods based on the biological concepts
of genetics and evolution.
Dr. Wright is also working with Dr. Raiford (of the CS department) and Dr.Holben (of the Division of Biological Sciences) on metagenomics, which is theexciting field of analyzing DNA sequence information taken fromenvironmental samples.
Dr. Wright is currently visiting the University of Otago in Dunedin, NewZealand. He has a blog about his personal activities at http://oldmtnbiker.wordpress.com
FACULTY
ACHIEVEMENTS
Dr. Douglas Raiford's
research was featured as the coverart for IEEE/ACM Transactions on
Computational Biology andBioinformatics, June 2008 issue.
Dr. Joel Henry
was recently recertified as an IEEE
Software Development
Professional. There are only about450 people worldwide with this
certification, and Joel is the onlyone in Montana. Dr. Henry also had
a paper entitled entitled
MATTLAB Automated Test Tool(MATT) accepted for publication
in the NASA Tech Briefs magazine.This magazine highlights those
products and processes proven
effective in critical NASA missions.Additionally, MATT has been
nominated for an Excellence inTechnology award within NASA
based on five years of integration
into NASA projects.
GIG:
GlobalInformation
Gatherer
Dr. Yolanda Reimer continues work on her Career grant research
involving information management, assimilation, and notetaking in the
digital age. With the GIG software prototype implemented and fully
functional, her research group recently completed a longitudinal and
unrestricted evaluation of its utility with two large sections of aManagement Information Systems class. Results of this study indicatethat participants have a strong preference for software that reduces the
need for excess program window manipulation, that provides citation
support and integrated web browsing, and that incorporates a progressiveuser interface design. On the third and final survey of our evaluation, we
learned that a majority (over 70%) of participants thought that GIG ishelpful for managing and making sense of the large volume of
information they are exposed to everyday. A manuscript describing this
evaluation is currently under review with JASIST, Journal of theAmerican Society for Information Science and Technology.
http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/http://oldmtnbiker.wordpress.com/ -
8/7/2019 Spring2011 newsletter V2
5/5
University of Montana: Computer Science Newsletter
Department of Computer Science
[Social Science Building Room 401][The University of Montana][Missoula], [MT][59812]
[Phone: 406-243-2883]
[FAX: 406-243-5139][Email: [email protected]]
Chen, M. (in press) Temporal-based video event detection and retrieval. In C.-H. Wei (Ed.), Machine learning techniques for adaptive multimediaretrieval: technologies applications and perspectives, IGI Global.
Chen, M., Chen, S.-C., & Shyu, M.-L. (in press) Content-based retrieval of video. P. Sheu, H. Yu, C.V. Ramamoorthy, A. Joshi, & L. Zadeh (Eds.),
Semantic computing, IEEE Press/Wiley.
*D.J. Brinkerhoff, T.W. Meierbachtol, J.V. Johnson, J.T. Harper, (2011) Sensitivity of the frozen-melted basal boundary to perturbations of basaltraction and geothermal heat flux: Isunnguata Sermia, western Greenland, Annals of Glaciology, vol. 59 pp. XX XX (in press).
R. Calov, R. Greve, A. Abe-Ouchi, E. Bueler, P. Huybrechts, J.V. Johnson, F. Pattyn, D. Pollard, C. Ritz, F. Saito, L. Tarasov (2010) Results fromthe Ice- Sheet Model Intercomparison ProjectHeinrich Event INtercOmparison (ISMIP HEINO). Journal of Glaciology vol. 56 (197) pp. 371-383.
Raiford, Douglas W., Doom, Travis E., Krane, Dan E., & Raymer, Michael E. 2010. A genetic optimization approach for isolating translationalefficiency bias. Accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11 February, 2010. IEEEcomputer Society Digital Library, IEEE Computer Society.
Raiford, Douglas W., Krane, Dan E., Doom, Travis E., Raymer, Michael L. Automated Isolation of Translational Efficiency Bias that Resists theConfounding Effect of GC(AT)-Content, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19 June 2008. IEEE ComputerSociety Digital Library. IEEE Computer Society, 30 June 2008.
Reimer, Y.J., *Hagedal, M., & *Wolf, P. (2010). Evaluating a Global Information Gathering Tool for Students. Proceedings of E-LEARN 2010 -World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education, Orlando, Florida, October 2010, pp. 2688-2695.Chesapeake, VA:AACE.
Reimer, Y.J., *Brimhall, E., *Cao, C., & *OReilly, K. (May 2009). Empirical User Studies Inform the Design of an E-Notetaking and InformationAssimilation System for Students in Higher Education, Computers & Education Journal 52, pp. 898-913. DOI information: 10.1016/j.compedu.2008.12.013
H.K. Maji, M. Prabhakaran, M. Rosulek. Attribute-Based Signatures. To appear, CT-RSA: RSA Conference, Cryptographers' Track 2011.
H.K. Maji, M. Prabhakaran, M. Rosulek. Exploring the Limits of Common Coins using Frontier Analysis of Protocols. To appear, Theory ofCryptography Conference (TCC) 2011.
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright. Representation Invariant Genetic Operators Evolutionary Computation Winter 2010, Vol.
18, No. 4: 635660.
Alden H. Wright, Tomas Gedeon, J. Neal Richter. On the Movement of Vertex Fixed Points in the Simple GA Proceedings of the eleventh ACMSIGEVO workshop on Foundations of Genetic Algorithms, Hans-Georg Beyer and William Langdon (editors), ACM, 2011.
Select Faculty Publications* Indicates Computer Science student
[more complete list found at: http://www-test.cs.umt.edu/faculty_and_research/publications.php]
Donations to the department can be made throughthe UM Foundation at The University of MontanaFoundation, P.O. Box 7159, Missoula, MT59807-7159, or online at http://www.umt.edu/UMf/. Make sure to designate your donation to theComputer Science Department. Donations can beused to set up scholarships for students or supportthe department, its resources, and its students inmany other ways. We thank you!
http://www.umt.edu/UMf/http://www.umt.edu/UMf/http://www.umt.edu/UMf/http://www.umt.edu/UMf/http://www.umt.edu/UMf/